 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P52591 from www.uniprot.org...
The NucPred score for your sequence is 0.93 (see score help below)
1 MSPAAAAADGGERRRPPLGVREGRGRTRGCGGPAGAAALGLALLGLALYL 50
51 VPAAAALAWLAVGASAAWWGLSREPRGPRGLSSFVRESRRHPRPALTASP 100
101 LPAKSPVNGSLCEPRSPLGGPDPAELLLMGSYLGKPGPPEPALPQDPRDR 150
151 PGRRPPSRSPPSSSTAQRVHHVYPALPTPLLRPSRRPPHRDCGPLSSRFV 200
201 ITPRRRYPIQQAQYSLLGALPTVCWNGGHKKAVLSARNSRMVCSPVTVRI 250
251 APPDSKLFRSPMPEQILSTTLSSPSSNAPDPCAKETVLNALKEKKKRTVA 300
301 EEDQLHLDGQENKRRRHDSSGSGHSAFEPLVANGVPAAFVPKPGSLKRSL 350
351 ASQSSDDHLNKRSRTSSVSSLTSTCTGGIPSSSRNAITSSYSSTRGVSQL 400
401 WKRSGPTSSPFSSPASSRSQTPERPAKKTREEEPCHQSSSSAPLVTDKES 450
451 PGEKVTDPATGKQQSLWTSPPTPGSSGQRKRKIQLLPSRRGDQLTLPPPP 500
501 ELGYSITAEDLDMERRASLQWFNKVLEDKTDDASTPATDTSPATSPPFTL 550
551 TLPTVGPAASPASLPAPSSNPLLESLKKMQESPAPSSSEPPEAATVAAPS 600
601 PPKTPSLLAPLVSPLTGPLASTSSDSKPTTTFLGLASASSATPLTDTKAP 650
651 GVSQAQLCVSTPAATAPSPTPASTLFGMLSPPASSSSLATPGPACASPMF 700
701 KPIFPATPKSESDNPLPTSSSAATTTPASTALPTTATATAHTFKPIFESV 750
751 EPFAAMPLSPPFSLKQTTAPATTAATSAPLLTGLGTATSTVATGTTASAS 800
801 KPVFGFGVTTAASTASTIASTSQSILFGGAPPVTASSSAPALASIFQFGK 850
851 PLAPAASVAGTSFSQSLASSAQTAASNSSGGFSGFGGTLTTSTSAPATTS 900
901 QPTLTFSNTVTPTFNIPFSASAKPALPTYPGANSQPTFGATDGATKPALA 950
951 PSFGSSFTFGNSVASAPSAAPAPAAFGGAAQPAFGGLKASASTFGTPAST 1000
1001 QPAFGSTTSVFSFGSATTSGFGAAAATTQTTHSGSSSSLFGSSTPSPFTF 1050
1051 GGSAAPAGGGGFGLSATPGTGSTSGTFSFGSGQSGTTGTTTSFGGSLSQN 1100
1101 TLGAPSQSSPFAFSVGSTPESKPVFGGTSTPTFGQSAPAPGVGTTGSSLS 1150
1151 FGAPSTPAQGFVGVGPFGSGAPSFSIGAGSKTPGARQRLQARRQHTRKK 1199
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
What does the NucPred score mean?
You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper. |
NucPred score threshold | Specificity | Sensitivity |
see above | fraction of proteins predicted to be nuclear that actually are nuclear | fraction of true nuclear proteins that are predicted (coverage) |
0.10 | 0.45 | 0.88 |
0.20 | 0.52 | 0.83 |
0.30 | 0.57 | 0.77 |
0.40 | 0.63 | 0.69 |
0.50 | 0.70 | 0.62 |
0.60 | 0.71 | 0.53 |
0.70 | 0.81 | 0.44 |
0.80 | 0.84 | 0.32 |
0.90 | 0.88 | 0.21 |
1.00 | 1.00 | 0.02 |
Sequences which score >= 0.8 with NucPred and which
are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.) |
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